Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c195' (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/8405706-fedora-40-x86_64 --chroot fedora-40-x86_64 Version: 1.2 PID: 16266 Logging PID: 16267 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'bootstrap': 'off', 'build_id': 8405706, 'buildroot_pkgs': [], 'chroot': 'fedora-40-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '94d35b74a9e7940355c334e569b5d452b1d0eac3', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-nimble', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-nimble', 'package_version': '1.3.0-1.copr8405706', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-40-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'iucar', 'tags': [], 'task_id': '8405706-fedora-40-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-nimble /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-nimble', '/var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble'... Running: git checkout 94d35b74a9e7940355c334e569b5d452b1d0eac3 -- cmd: ['git', 'checkout', '94d35b74a9e7940355c334e569b5d452b1d0eac3', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble rc: 0 stdout: stderr: Note: switching to '94d35b74a9e7940355c334e569b5d452b1d0eac3'. 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 94d35b7 automatic import of R-CRAN-nimble Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble 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 nimble_1.3.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o nimble_1.3.0.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/iucar/cran/R-CRAN-nimble/nimble_1.3.0.tar.gz/md5/a308693f07d04bbcb4174fd86c8518ea/nimble_1.3.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 3334k 100 3334k 0 0 19.9M 0 --:--:-- --:--:-- --:--:-- 19.9M INFO: Reading stdout from command: md5sum nimble_1.3.0.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble/R-CRAN-nimble.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734486719.896055 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.9 starting (python version = 3.13.0, NVR = mock-5.9-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble/R-CRAN-nimble.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734486719.896055 -r /var/lib/copr-rpmbuild/results/configs/child.cfg 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-b0ymdp8g/R-CRAN-nimble/R-CRAN-nimble.spec) Config(fedora-40-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1734486719.896055/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.20.0-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.22.0-1.fc41.noarch python3-dnf-plugins-core-4.10.0-1.fc41.noarch dnf5-5.2.8.1-2.fc41.x86_64 dnf5-plugins-5.2.8.1-2.fc41.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 969.9 KiB/s | 31.0 KiB | 00m00s fedora 100% | 959.2 KiB/s | 31.7 KiB | 00m00s Copr repository 100% | 24.4 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 16.0 MiB/s | 12.3 MiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.26-3.fc40 fedora 8.1 MiB bzip2 x86_64 1.0.8-18.fc40 fedora 91.7 KiB coreutils x86_64 9.4-9.fc40 updates 5.8 MiB cpio x86_64 2.15-1.fc40 fedora 1.1 MiB diffutils x86_64 3.10-5.fc40 fedora 1.6 MiB fedora-release-common noarch 40-40 updates 19.2 KiB findutils x86_64 1:4.9.0-9.fc40 updates 1.5 MiB gawk x86_64 5.3.0-3.fc40 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.39-30.fc40 updates 0.0 B grep x86_64 3.11-7.fc40 fedora 1.0 MiB gzip x86_64 1.13-1.fc40 fedora 385.0 KiB info x86_64 7.1-2.fc40 fedora 357.8 KiB patch x86_64 2.7.6-24.fc40 fedora 262.8 KiB redhat-rpm-config noarch 288-1.fc40 updates 185.2 KiB rpm-build x86_64 4.19.1.1-1.fc40 fedora 173.7 KiB sed x86_64 4.9-1.fc40 fedora 861.5 KiB shadow-utils x86_64 2:4.15.1-4.fc40 updates 4.1 MiB tar x86_64 2:1.35-3.fc40 fedora 2.9 MiB unzip x86_64 6.0-63.fc40 fedora 382.8 KiB util-linux x86_64 2.40.2-1.fc40 updates 3.7 MiB which x86_64 2.21-41.fc40 fedora 80.2 KiB xz x86_64 1:5.4.6-3.fc40 fedora 2.0 MiB Installing dependencies: alternatives x86_64 1.27-1.fc40 updates 66.3 KiB ansible-srpm-macros noarch 1-16.fc40 updates 35.7 KiB audit-libs x86_64 4.0.2-1.fc40 updates 327.4 KiB authselect x86_64 1.5.0-6.fc40 updates 153.6 KiB authselect-libs x86_64 1.5.0-6.fc40 updates 818.2 KiB basesystem noarch 11-20.fc40 fedora 0.0 B binutils x86_64 2.41-38.fc40 updates 26.4 MiB binutils-gold x86_64 2.41-38.fc40 updates 2.0 MiB bzip2-libs x86_64 1.0.8-18.fc40 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-1.0.fc40 updates 2.4 MiB coreutils-common x86_64 9.4-9.fc40 updates 11.4 MiB cracklib x86_64 2.9.11-5.fc40 fedora 238.9 KiB crypto-policies noarch 20241011-1.git5930b9a.fc40 updates 158.0 KiB curl x86_64 8.6.0-10.fc40 updates 738.6 KiB cyrus-sasl-lib x86_64 2.1.28-19.fc40 fedora 2.3 MiB debugedit x86_64 5.0-18.fc40 updates 199.3 KiB dwz x86_64 0.15-8.fc40 updates 294.9 KiB ed x86_64 1.20.2-1.fc40 updates 146.9 KiB efi-srpm-macros noarch 5-11.fc40 fedora 40.1 KiB elfutils x86_64 0.192-7.fc40 updates 2.7 MiB elfutils-debuginfod-client x86_64 0.192-7.fc40 updates 80.2 KiB elfutils-default-yama-scope noarch 0.192-7.fc40 updates 1.8 KiB elfutils-libelf x86_64 0.192-7.fc40 updates 1.2 MiB elfutils-libs x86_64 0.192-7.fc40 updates 670.3 KiB fedora-gpg-keys noarch 40-2 updates 124.7 KiB fedora-release noarch 40-40 updates 0.0 B fedora-release-identity-basic noarch 40-40 updates 654.0 B fedora-repos noarch 40-2 updates 4.9 KiB file x86_64 5.45-4.fc40 fedora 103.5 KiB file-libs x86_64 5.45-4.fc40 fedora 9.9 MiB filesystem x86_64 3.18-8.fc40 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-14.fc40 fedora 55.3 KiB forge-srpm-macros noarch 0.3.2-1.fc40 updates 39.0 KiB fpc-srpm-macros noarch 1.3-12.fc40 fedora 144.0 B gdb-minimal x86_64 15.2-3.fc40 updates 13.0 MiB gdbm x86_64 1:1.23-6.fc40 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-6.fc40 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.1-1.fc40 updates 747.0 B glibc x86_64 2.39-30.fc40 updates 6.6 MiB glibc-common x86_64 2.39-30.fc40 updates 1.0 MiB glibc-gconv-extra x86_64 2.39-30.fc40 updates 7.8 MiB gmp x86_64 1:6.2.1-8.fc40 fedora 794.6 KiB gnat-srpm-macros noarch 6-5.fc40 fedora 1.0 KiB go-srpm-macros noarch 3.5.0-1.fc40 fedora 60.6 KiB jansson x86_64 2.13.1-9.fc40 fedora 88.3 KiB json-c x86_64 0.17-3.fc40 fedora 82.4 KiB kernel-srpm-macros noarch 1.0-23.fc40 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-3.fc40 fedora 54.4 KiB krb5-libs x86_64 1.21.3-2.fc40 updates 2.3 MiB libacl x86_64 2.3.2-1.fc40 fedora 40.0 KiB libarchive x86_64 3.7.2-7.fc40 updates 922.6 KiB libattr x86_64 2.5.2-3.fc40 fedora 28.5 KiB libblkid x86_64 2.40.2-1.fc40 updates 258.6 KiB libbrotli x86_64 1.1.0-3.fc40 fedora 829.5 KiB libcap x86_64 2.69-8.fc40 updates 219.8 KiB libcap-ng x86_64 0.8.4-4.fc40 fedora 73.1 KiB libcom_err x86_64 1.47.0-5.fc40 fedora 67.2 KiB libcurl x86_64 8.6.0-10.fc40 updates 776.8 KiB libeconf x86_64 0.6.2-2.fc40 updates 58.0 KiB libevent x86_64 2.1.12-12.fc40 fedora 895.6 KiB libfdisk x86_64 2.40.2-1.fc40 updates 362.9 KiB libffi x86_64 3.4.4-7.fc40 fedora 81.6 KiB libgcc x86_64 14.2.1-3.fc40 updates 274.6 KiB libgomp x86_64 14.2.1-3.fc40 updates 523.6 KiB libidn2 x86_64 2.3.7-1.fc40 fedora 329.1 KiB libmount x86_64 2.40.2-1.fc40 updates 355.8 KiB libnghttp2 x86_64 1.59.0-3.fc40 updates 166.1 KiB libnsl2 x86_64 2.0.1-1.fc40 fedora 57.9 KiB libpkgconf x86_64 2.1.1-2.fc40 updates 74.2 KiB libpsl x86_64 0.21.5-3.fc40 fedora 80.5 KiB libpwquality x86_64 1.4.5-9.fc40 fedora 417.8 KiB libselinux x86_64 3.7-5.fc40 updates 177.0 KiB libsemanage x86_64 3.7-2.fc40 updates 293.5 KiB libsepol x86_64 3.7-2.fc40 updates 817.9 KiB libsmartcols x86_64 2.40.2-1.fc40 updates 180.4 KiB libssh x86_64 0.10.6-5.fc40 fedora 509.3 KiB libssh-config noarch 0.10.6-5.fc40 fedora 277.0 B libstdc++ x86_64 14.2.1-3.fc40 updates 2.8 MiB libtasn1 x86_64 4.19.0-6.fc40 fedora 175.7 KiB libtirpc x86_64 1.3.6-1.fc40 updates 202.7 KiB libtool-ltdl x86_64 2.4.7-10.fc40 fedora 66.2 KiB libunistring x86_64 1.1-7.fc40 fedora 1.7 MiB libutempter x86_64 1.2.1-13.fc40 fedora 57.7 KiB libuuid x86_64 2.40.2-1.fc40 updates 37.5 KiB libverto x86_64 0.3.2-8.fc40 fedora 29.5 KiB libxcrypt x86_64 4.4.36-11.fc40 updates 267.5 KiB libxml2 x86_64 2.12.8-1.fc40 updates 1.7 MiB libzstd x86_64 1.5.6-1.fc40 updates 787.9 KiB lua-libs x86_64 5.4.6-5.fc40 fedora 281.1 KiB lua-srpm-macros noarch 1-13.fc40 fedora 1.3 KiB lz4-libs x86_64 1.9.4-6.fc40 fedora 129.4 KiB mpfr x86_64 4.2.1-4.fc40 updates 832.0 KiB ncurses-base noarch 6.4-12.20240127.fc40 fedora 326.2 KiB ncurses-libs x86_64 6.4-12.20240127.fc40 fedora 963.2 KiB ocaml-srpm-macros noarch 9-3.fc40 fedora 1.9 KiB openblas-srpm-macros noarch 2-16.fc40 fedora 104.0 B openldap x86_64 2.6.7-1.fc40 fedora 635.1 KiB openssl-libs x86_64 1:3.2.2-3.fc40 updates 7.8 MiB p11-kit x86_64 0.25.5-1.fc40 updates 2.2 MiB p11-kit-trust x86_64 0.25.5-1.fc40 updates 391.4 KiB package-notes-srpm-macros noarch 0.5-11.fc40 fedora 1.6 KiB pam x86_64 1.6.1-5.fc40 updates 1.8 MiB pam-libs x86_64 1.6.1-5.fc40 updates 135.0 KiB pcre2 x86_64 10.44-1.fc40 updates 653.5 KiB pcre2-syntax noarch 10.44-1.fc40 updates 251.6 KiB perl-srpm-macros noarch 1-53.fc40 fedora 861.0 B pkgconf x86_64 2.1.1-2.fc40 updates 82.9 KiB pkgconf-m4 noarch 2.1.1-2.fc40 updates 13.9 KiB pkgconf-pkg-config x86_64 2.1.1-2.fc40 updates 989.0 B popt x86_64 1.19-6.fc40 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-3.fc40 fedora 67.5 KiB pyproject-srpm-macros noarch 1.16.3-1.fc40 updates 1.9 KiB python-srpm-macros noarch 3.12-8.fc40 updates 50.6 KiB qt5-srpm-macros noarch 5.15.15-1.fc40 updates 500.0 B qt6-srpm-macros noarch 6.7.2-2.fc40 updates 456.0 B readline x86_64 8.2-8.fc40 fedora 489.2 KiB rpm x86_64 4.19.1.1-1.fc40 fedora 3.0 MiB rpm-build-libs x86_64 4.19.1.1-1.fc40 fedora 198.4 KiB rpm-libs x86_64 4.19.1.1-1.fc40 fedora 709.9 KiB rpm-sequoia x86_64 1.7.0-3.fc40 updates 2.4 MiB rust-srpm-macros noarch 26.3-1.fc40 updates 4.8 KiB setup noarch 2.14.5-2.fc40 fedora 720.4 KiB sqlite-libs x86_64 3.45.1-2.fc40 fedora 1.4 MiB systemd-libs x86_64 255.15-1.fc40 updates 1.9 MiB util-linux-core x86_64 2.40.2-1.fc40 updates 1.5 MiB xxhash-libs x86_64 0.8.2-4.fc40 updates 88.5 KiB xz-libs x86_64 1:5.4.6-3.fc40 fedora 209.8 KiB zig-srpm-macros noarch 1-2.fc40 fedora 1.1 KiB zip x86_64 3.0-40.fc40 fedora 703.2 KiB zlib-ng-compat x86_64 2.1.7-2.fc40 updates 134.0 KiB zstd x86_64 1.5.6-1.fc40 updates 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 153 packages Total size of inbound packages is 53 MiB. Need to download 0 B. After this operation, 179 MiB extra will be used (install 179 MiB, remove 0 B). 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[126/126] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/127] libxml2-0:2.12.8-1.fc40.x86_6 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [127/127] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/128] fedora-repos-0:40-2.noarch 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [128/128] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/129] fedora-gpg-keys-0:40-2.noarch 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [129/129] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/130] elfutils-default-yama-scope-0 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [130/130] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/131] p11-kit-0:0.25.5-1.fc40.x86_6 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [131/131] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/132] libffi-0:3.4.4-7.fc40.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [132/132] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/133] libtasn1-0:4.19.0-6.fc40.x86_ 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [133/133] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/134] p11-kit-trust-0:0.25.5-1.fc40 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [134/134] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/135] alternatives-0:1.27-1.fc40.x8 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [135/135] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/136] binutils-gold-0:2.41-38.fc40. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [136/136] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/137] fedora-release-0:40-40.noarch 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [137/137] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/138] gdb-minimal-0:15.2-3.fc40.x86 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [138/138] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/139] xxhash-libs-0:0.8.2-4.fc40.x8 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [139/139] Total 100% | 0.0 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downloaded -------------------------------------------------------------------------------- [144/144] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/145] libssh-0:0.10.6-5.fc40.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [145/145] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/146] openldap-0:2.6.7-1.fc40.x86_6 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [146/146] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/147] libunistring-0:1.1-7.fc40.x86 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [147/147] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/148] publicsuffix-list-dafsa-0:202 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [148/148] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/149] libssh-config-0:0.10.6-5.fc40 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [149/149] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/150] cyrus-sasl-lib-0:2.1.28-19.fc 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [150/150] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/151] libevent-0:2.1.12-12.fc40.x86 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [151/151] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/152] libtool-ltdl-0:2.4.7-10.fc40. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [152/152] Total 100% | 0.0 B/s | 0.0 B | 00m00s [ 1/153] libnghttp2-0:1.59.0-3.fc40.x8 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [153/153] Total 100% | 0.0 B/s | 0.0 B | 00m00s Running transaction Importing OpenPGP key 0xA15B79CC: UserID : "Fedora (40) " Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary The key was successfully imported. [ 1/155] Verify package files 100% | 581.0 B/s | 153.0 B | 00m00s [ 2/155] Prepare transaction 100% | 1.3 KiB/s | 153.0 B | 00m00s [ 3/155] Installing libgcc-0:14.2.1-3. 100% | 67.5 MiB/s | 276.3 KiB | 00m00s [ 4/155] Installing crypto-policies-0: 100% | 12.4 MiB/s | 190.6 KiB | 00m00s [ 5/155] Installing libssh-config-0:0. 100% | 796.9 KiB/s | 816.0 B | 00m00s [ 6/155] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 7/155] Installing fedora-release-ide 100% | 890.6 KiB/s | 912.0 B | 00m00s [ 8/155] Installing fedora-gpg-keys-0: 100% | 13.8 MiB/s | 169.7 KiB | 00m00s [ 9/155] Installing fedora-repos-0:40- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 10/155] Installing fedora-release-com 100% | 11.4 MiB/s | 23.4 KiB | 00m00s [ 11/155] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 12/155] Installing setup-0:2.14.5-2.f 100% | 29.5 MiB/s | 725.8 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/155] Installing filesystem-0:3.18- 100% | 1.2 MiB/s | 212.4 KiB | 00m00s [ 14/155] Installing basesystem-0:11-20 100% | 0.0 B/s | 124.0 B | 00m00s [ 15/155] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [ 16/155] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [ 17/155] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [ 18/155] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 19/155] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [ 20/155] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB | 00m00s [ 21/155] Installing pkgconf-m4-0:2.1.1 100% | 14.0 MiB/s | 14.3 KiB | 00m00s [ 22/155] Installing ncurses-base-0:6.4 100% | 26.4 MiB/s | 351.6 KiB | 00m00s [ 23/155] Installing glibc-minimal-lang 100% | 121.1 KiB/s | 124.0 B | 00m00s [ 24/155] Installing ncurses-libs-0:6.4 100% | 94.7 MiB/s | 969.7 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [ 25/155] Installing glibc-0:2.39-30.fc 100% | 94.9 MiB/s | 6.6 MiB | 00m00s [ 26/155] Installing bash-0:5.2.26-3.fc 100% | 181.4 MiB/s | 8.2 MiB | 00m00s [ 27/155] Installing glibc-common-0:2.3 100% | 79.1 MiB/s | 1.0 MiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [ 28/155] Installing glibc-gconv-extra- 100% | 90.7 MiB/s | 7.9 MiB | 00m00s [ 29/155] Installing zlib-ng-compat-0:2 100% | 65.8 MiB/s | 134.8 KiB | 00m00s [ 30/155] Installing xz-libs-1:5.4.6-3. 100% | 103.0 MiB/s | 210.9 KiB | 00m00s [ 31/155] Installing bzip2-libs-0:1.0.8 100% | 39.9 MiB/s | 81.8 KiB | 00m00s [ 32/155] Installing popt-0:1.19-6.fc40 100% | 23.4 MiB/s | 143.5 KiB | 00m00s [ 33/155] Installing readline-0:8.2-8.f 100% | 120.0 MiB/s | 491.4 KiB | 00m00s [ 34/155] Installing libzstd-0:1.5.6-1. 100% | 154.1 MiB/s | 789.2 KiB | 00m00s [ 35/155] Installing elfutils-libelf-0: 100% | 167.2 MiB/s | 1.2 MiB | 00m00s [ 36/155] Installing libstdc++-0:14.2.1 100% | 172.9 MiB/s | 2.8 MiB | 00m00s [ 37/155] Installing 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1.8 KiB | 00m00s [101/155] Installing keyutils-libs-0:1. 100% | 27.2 MiB/s | 55.8 KiB | 00m00s [102/155] Installing libverto-0:0.3.2-8 100% | 15.3 MiB/s | 31.3 KiB | 00m00s [103/155] Installing xxhash-libs-0:0.8. 100% | 43.9 MiB/s | 89.9 KiB | 00m00s [104/155] Installing libbrotli-0:1.1.0- 100% | 135.4 MiB/s | 831.8 KiB | 00m00s [105/155] Installing libtool-ltdl-0:2.4 100% | 65.7 MiB/s | 67.3 KiB | 00m00s [106/155] Installing libnghttp2-0:1.59. 100% | 54.4 MiB/s | 167.2 KiB | 00m00s [107/155] Installing coreutils-common-0 100% | 182.0 MiB/s | 11.5 MiB | 00m00s [108/155] Installing openssl-libs-1:3.2 100% | 217.4 MiB/s | 7.8 MiB | 00m00s [109/155] Installing coreutils-0:9.4-9. 100% | 109.9 MiB/s | 5.8 MiB | 00m00s [110/155] Installing ca-certificates-0: 100% | 1.6 MiB/s | 2.4 MiB | 00m01s [111/155] Installing krb5-libs-0:1.21.3 100% | 164.8 MiB/s | 2.3 MiB | 00m00s [112/155] Installing libtirpc-0:1.3.6-1 100% | 99.9 MiB/s | 204.5 KiB | 00m00s [113/155] Installing gzip-0:1.13-1.fc40 100% | 76.3 MiB/s | 390.6 KiB | 00m00s [114/155] Installing authselect-libs-0: 100% | 81.4 MiB/s | 833.2 KiB | 00m00s [115/155] Installing libarchive-0:3.7.2 100% | 180.6 MiB/s | 924.5 KiB | 00m00s [116/155] Installing authselect-0:1.5.0 100% | 38.6 MiB/s | 157.9 KiB | 00m00s [117/155] Installing cracklib-0:2.9.11- 100% | 30.6 MiB/s | 250.3 KiB | 00m00s [118/155] Installing libpwquality-0:1.4 100% | 46.7 MiB/s | 430.1 KiB | 00m00s [119/155] Installing libnsl2-0:2.0.1-1. 100% | 28.8 MiB/s | 59.0 KiB | 00m00s [120/155] Installing pam-0:1.6.1-5.fc40 100% | 70.0 MiB/s | 1.8 MiB | 00m00s [121/155] Installing libssh-0:0.10.6-5. 100% | 124.8 MiB/s | 511.4 KiB | 00m00s [122/155] Installing rpm-sequoia-0:1.7. 100% | 239.4 MiB/s | 2.4 MiB | 00m00s [123/155] Installing rpm-libs-0:4.19.1. 100% | 173.7 MiB/s | 711.4 KiB | 00m00s [124/155] Installing rpm-build-libs-0:4 100% | 97.3 MiB/s | 199.2 KiB | 00m00s [125/155] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.4 KiB | 00m00s [126/155] Installing openldap-0:2.6.7-1 100% | 124.8 MiB/s | 638.9 KiB | 00m00s [127/155] Installing libcurl-0:8.6.0-10 100% | 189.9 MiB/s | 777.9 KiB | 00m00s [128/155] Installing elfutils-debuginfo 100% | 26.8 MiB/s | 82.4 KiB | 00m00s [129/155] Installing binutils-0:2.41-38 100% | 230.2 MiB/s | 26.5 MiB | 00m00s [130/155] Installing binutils-gold-0:2. 100% | 64.0 MiB/s | 2.0 MiB | 00m00s [131/155] Installing elfutils-0:0.192-7 100% | 204.6 MiB/s | 2.7 MiB | 00m00s [132/155] Installing gdb-minimal-0:15.2 100% | 288.7 MiB/s | 13.0 MiB | 00m00s [133/155] Installing debugedit-0:5.0-18 100% | 65.8 MiB/s | 202.0 KiB | 00m00s [134/155] Installing curl-0:8.6.0-10.fc 100% | 25.8 MiB/s | 740.9 KiB | 00m00s [135/155] Installing rpm-0:4.19.1.1-1.f 100% | 79.9 MiB/s | 2.4 MiB | 00m00s [136/155] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [137/155] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [138/155] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [139/155] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [140/155] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [141/155] Installing openblas-srpm-macr 100% | 0.0 B/s | 384.0 B | 00m00s [142/155] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [143/155] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [144/155] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [145/155] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [146/155] Installing fonts-srpm-macros- 100% | 55.1 MiB/s | 56.5 KiB | 00m00s [147/155] Installing go-srpm-macros-0:3 100% | 60.2 MiB/s | 61.6 KiB | 00m00s [148/155] Installing forge-srpm-macros- 100% | 39.4 MiB/s | 40.4 KiB | 00m00s [149/155] Installing python-srpm-macros 100% | 50.6 MiB/s | 51.8 KiB | 00m00s [150/155] Installing redhat-rpm-config- 100% | 46.9 MiB/s | 191.9 KiB | 00m00s [151/155] Installing rpm-build-0:4.19.1 100% | 44.4 MiB/s | 182.0 KiB | 00m00s [152/155] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [153/155] Installing util-linux-0:2.40. 100% | 69.4 MiB/s | 3.7 MiB | 00m00s [154/155] Installing which-0:2.21-41.fc 100% | 40.3 MiB/s | 82.4 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [155/155] Installing info-0:7.1-2.fc40. 100% | 218.7 KiB/s | 358.2 KiB | 00m02s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.27-1.fc40.x86_64 ansible-srpm-macros-1-16.fc40.noarch audit-libs-4.0.2-1.fc40.x86_64 authselect-1.5.0-6.fc40.x86_64 authselect-libs-1.5.0-6.fc40.x86_64 basesystem-11-20.fc40.noarch bash-5.2.26-3.fc40.x86_64 binutils-2.41-38.fc40.x86_64 binutils-gold-2.41-38.fc40.x86_64 bzip2-1.0.8-18.fc40.x86_64 bzip2-libs-1.0.8-18.fc40.x86_64 ca-certificates-2024.2.69_v8.0.401-1.0.fc40.noarch coreutils-9.4-9.fc40.x86_64 coreutils-common-9.4-9.fc40.x86_64 cpio-2.15-1.fc40.x86_64 cracklib-2.9.11-5.fc40.x86_64 crypto-policies-20241011-1.git5930b9a.fc40.noarch curl-8.6.0-10.fc40.x86_64 cyrus-sasl-lib-2.1.28-19.fc40.x86_64 debugedit-5.0-18.fc40.x86_64 diffutils-3.10-5.fc40.x86_64 dwz-0.15-8.fc40.x86_64 ed-1.20.2-1.fc40.x86_64 efi-srpm-macros-5-11.fc40.noarch elfutils-0.192-7.fc40.x86_64 elfutils-debuginfod-client-0.192-7.fc40.x86_64 elfutils-default-yama-scope-0.192-7.fc40.noarch elfutils-libelf-0.192-7.fc40.x86_64 elfutils-libs-0.192-7.fc40.x86_64 fedora-gpg-keys-40-2.noarch fedora-release-40-40.noarch fedora-release-common-40-40.noarch fedora-release-identity-basic-40-40.noarch fedora-repos-40-2.noarch file-5.45-4.fc40.x86_64 file-libs-5.45-4.fc40.x86_64 filesystem-3.18-8.fc40.x86_64 findutils-4.9.0-9.fc40.x86_64 fonts-srpm-macros-2.0.5-14.fc40.noarch forge-srpm-macros-0.3.2-1.fc40.noarch fpc-srpm-macros-1.3-12.fc40.noarch gawk-5.3.0-3.fc40.x86_64 gdb-minimal-15.2-3.fc40.x86_64 gdbm-1.23-6.fc40.x86_64 gdbm-libs-1.23-6.fc40.x86_64 ghc-srpm-macros-1.9.1-1.fc40.noarch glibc-2.39-30.fc40.x86_64 glibc-common-2.39-30.fc40.x86_64 glibc-gconv-extra-2.39-30.fc40.x86_64 glibc-minimal-langpack-2.39-30.fc40.x86_64 gmp-6.2.1-8.fc40.x86_64 gnat-srpm-macros-6-5.fc40.noarch go-srpm-macros-3.5.0-1.fc40.noarch gpg-pubkey-a15b79cc-63d04c2c grep-3.11-7.fc40.x86_64 gzip-1.13-1.fc40.x86_64 info-7.1-2.fc40.x86_64 jansson-2.13.1-9.fc40.x86_64 json-c-0.17-3.fc40.x86_64 kernel-srpm-macros-1.0-23.fc40.noarch keyutils-libs-1.6.3-3.fc40.x86_64 krb5-libs-1.21.3-2.fc40.x86_64 libacl-2.3.2-1.fc40.x86_64 libarchive-3.7.2-7.fc40.x86_64 libattr-2.5.2-3.fc40.x86_64 libblkid-2.40.2-1.fc40.x86_64 libbrotli-1.1.0-3.fc40.x86_64 libcap-2.69-8.fc40.x86_64 libcap-ng-0.8.4-4.fc40.x86_64 libcom_err-1.47.0-5.fc40.x86_64 libcurl-8.6.0-10.fc40.x86_64 libeconf-0.6.2-2.fc40.x86_64 libevent-2.1.12-12.fc40.x86_64 libfdisk-2.40.2-1.fc40.x86_64 libffi-3.4.4-7.fc40.x86_64 libgcc-14.2.1-3.fc40.x86_64 libgomp-14.2.1-3.fc40.x86_64 libidn2-2.3.7-1.fc40.x86_64 libmount-2.40.2-1.fc40.x86_64 libnghttp2-1.59.0-3.fc40.x86_64 libnsl2-2.0.1-1.fc40.x86_64 libpkgconf-2.1.1-2.fc40.x86_64 libpsl-0.21.5-3.fc40.x86_64 libpwquality-1.4.5-9.fc40.x86_64 libselinux-3.7-5.fc40.x86_64 libsemanage-3.7-2.fc40.x86_64 libsepol-3.7-2.fc40.x86_64 libsmartcols-2.40.2-1.fc40.x86_64 libssh-0.10.6-5.fc40.x86_64 libssh-config-0.10.6-5.fc40.noarch libstdc++-14.2.1-3.fc40.x86_64 libtasn1-4.19.0-6.fc40.x86_64 libtirpc-1.3.6-1.fc40.x86_64 libtool-ltdl-2.4.7-10.fc40.x86_64 libunistring-1.1-7.fc40.x86_64 libutempter-1.2.1-13.fc40.x86_64 libuuid-2.40.2-1.fc40.x86_64 libverto-0.3.2-8.fc40.x86_64 libxcrypt-4.4.36-11.fc40.x86_64 libxml2-2.12.8-1.fc40.x86_64 libzstd-1.5.6-1.fc40.x86_64 lua-libs-5.4.6-5.fc40.x86_64 lua-srpm-macros-1-13.fc40.noarch lz4-libs-1.9.4-6.fc40.x86_64 mpfr-4.2.1-4.fc40.x86_64 ncurses-base-6.4-12.20240127.fc40.noarch ncurses-libs-6.4-12.20240127.fc40.x86_64 ocaml-srpm-macros-9-3.fc40.noarch openblas-srpm-macros-2-16.fc40.noarch openldap-2.6.7-1.fc40.x86_64 openssl-libs-3.2.2-3.fc40.x86_64 p11-kit-0.25.5-1.fc40.x86_64 p11-kit-trust-0.25.5-1.fc40.x86_64 package-notes-srpm-macros-0.5-11.fc40.noarch pam-1.6.1-5.fc40.x86_64 pam-libs-1.6.1-5.fc40.x86_64 patch-2.7.6-24.fc40.x86_64 pcre2-10.44-1.fc40.x86_64 pcre2-syntax-10.44-1.fc40.noarch perl-srpm-macros-1-53.fc40.noarch pkgconf-2.1.1-2.fc40.x86_64 pkgconf-m4-2.1.1-2.fc40.noarch pkgconf-pkg-config-2.1.1-2.fc40.x86_64 popt-1.19-6.fc40.x86_64 publicsuffix-list-dafsa-20240107-3.fc40.noarch pyproject-srpm-macros-1.16.3-1.fc40.noarch python-srpm-macros-3.12-8.fc40.noarch qt5-srpm-macros-5.15.15-1.fc40.noarch qt6-srpm-macros-6.7.2-2.fc40.noarch readline-8.2-8.fc40.x86_64 redhat-rpm-config-288-1.fc40.noarch rpm-4.19.1.1-1.fc40.x86_64 rpm-build-4.19.1.1-1.fc40.x86_64 rpm-build-libs-4.19.1.1-1.fc40.x86_64 rpm-libs-4.19.1.1-1.fc40.x86_64 rpm-sequoia-1.7.0-3.fc40.x86_64 rust-srpm-macros-26.3-1.fc40.noarch sed-4.9-1.fc40.x86_64 setup-2.14.5-2.fc40.noarch shadow-utils-4.15.1-4.fc40.x86_64 sqlite-libs-3.45.1-2.fc40.x86_64 systemd-libs-255.15-1.fc40.x86_64 tar-1.35-3.fc40.x86_64 unzip-6.0-63.fc40.x86_64 util-linux-2.40.2-1.fc40.x86_64 util-linux-core-2.40.2-1.fc40.x86_64 which-2.21-41.fc40.x86_64 xxhash-libs-0.8.2-4.fc40.x86_64 xz-5.4.6-3.fc40.x86_64 xz-libs-5.4.6-3.fc40.x86_64 zig-srpm-macros-1-2.fc40.noarch zip-3.0-40.fc40.x86_64 zlib-ng-compat-2.1.7-2.fc40.x86_64 zstd-1.5.6-1.fc40.x86_64 Start: buildsrpm Start: rpmbuild -bs warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1734486719.896055/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-b0ymdp8g/R-CRAN-nimble/R-CRAN-nimble.spec) Config(child) 0 minutes 16 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/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm) Config(fedora-40-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1734486719.896055/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 from host and used with --installroot: rpm-4.20.0-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.22.0-1.fc41.noarch python3-dnf-plugins-core-4.10.0-1.fc41.noarch dnf5-5.2.8.1-2.fc41.x86_64 dnf5-plugins-5.2.8.1-2.fc41.x86_64 Finish: chroot init Start: build phase for R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm Start: build setup for R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Updating and loading repositories: updates 100% | 1.1 MiB/s | 31.0 KiB | 00m00s fedora 100% | 1.1 MiB/s | 31.7 KiB | 00m00s Copr repository 100% | 49.6 KiB/s | 1.5 KiB | 00m00s Copr repository 100% | 28.0 MiB/s | 12.3 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: R-CRAN-R6 noarch 2.5.1-1.fc40.copr7349938 copr_base 115.9 KiB R-CRAN-coda noarch 0.19.4.1-1.fc40.copr7353589 copr_base 480.9 KiB R-CRAN-igraph x86_64 2.1.2-1.fc40.copr8363064 copr_base 10.2 MiB R-CRAN-numDeriv noarch 2016.8.1.1-3.fc40.copr7350037 copr_base 151.0 KiB R-CRAN-pracma noarch 2.4.4-1.fc40.copr7350224 copr_base 2.8 MiB R-core x86_64 4.4.2-1.fc40 updates 101.7 MiB R-devel x86_64 4.4.2-1.fc40 updates 0.0 B Installing dependencies: R-CRAN-Matrix x86_64 1.7.1-1.fc40.copr8157422 copr_base 8.2 MiB R-CRAN-cli x86_64 3.6.3-1.fc40.copr7649835 copr_base 2.4 MiB R-CRAN-glue x86_64 1.8.0-1.fc40.copr8094211 copr_base 344.8 KiB R-CRAN-lattice x86_64 0.22.6-1.fc40.copr7352639 copr_base 2.0 MiB R-CRAN-lifecycle noarch 1.0.4-1.fc40.copr7354340 copr_base 282.7 KiB R-CRAN-magrittr x86_64 2.0.3-1.fc40.copr7349936 copr_base 417.3 KiB R-CRAN-pkgconfig noarch 2.0.3-3.fc40.copr7349937 copr_base 34.0 KiB R-CRAN-rlang x86_64 1.1.4-1.fc40.copr7531082 copr_base 2.6 MiB R-CRAN-vctrs x86_64 0.6.5-1.fc40.copr7356070 copr_base 2.3 MiB R-core-devel x86_64 4.4.2-1.fc40 updates 395.8 KiB R-java x86_64 4.4.2-1.fc40 updates 0.0 B R-java-devel x86_64 4.4.2-1.fc40 updates 0.0 B R-rpm-macros noarch 1.2.1-10.fc40 updates 5.6 KiB abattis-cantarell-vf-fonts noarch 0.301-12.fc40 fedora 192.7 KiB alsa-lib x86_64 1.2.13-3.fc40 updates 1.4 MiB annobin-docs noarch 12.60-1.fc40 updates 96.2 KiB annobin-plugin-gcc x86_64 12.60-1.fc40 updates 976.2 KiB avahi-libs x86_64 0.8-26.fc40 fedora 166.3 KiB brotli x86_64 1.1.0-3.fc40 fedora 31.8 KiB brotli-devel x86_64 1.1.0-3.fc40 fedora 65.6 KiB bzip2-devel x86_64 1.0.8-18.fc40 fedora 309.8 KiB cairo x86_64 1.18.0-3.fc40 fedora 1.7 MiB cairo-devel x86_64 1.18.0-3.fc40 fedora 2.3 MiB cmake-filesystem x86_64 3.30.5-1.fc40 updates 0.0 B copy-jdk-configs noarch 4.1-5.fc40 fedora 20.3 KiB cpp x86_64 14.2.1-3.fc40 updates 35.0 MiB crypto-policies-scripts noarch 20241011-1.git5930b9a.fc40 updates 353.5 KiB cups-filesystem noarch 1:2.4.11-8.fc40 updates 0.0 B cups-libs x86_64 1:2.4.11-8.fc40 updates 622.9 KiB dbus-libs x86_64 1:1.14.10-3.fc40 fedora 368.9 KiB default-fonts-core-sans noarch 4.0-13.fc40 updates 11.9 KiB desktop-file-utils x86_64 0.26-12.fc40 fedora 226.0 KiB emacs-filesystem noarch 1:29.4-9.fc40 updates 0.0 B expat x86_64 2.6.3-1.fc40 updates 287.5 KiB flexiblas x86_64 3.4.4-1.fc40 updates 48.5 KiB flexiblas-devel x86_64 3.4.4-1.fc40 updates 4.7 MiB flexiblas-netlib x86_64 3.4.4-1.fc40 updates 10.6 MiB flexiblas-netlib64 x86_64 3.4.4-1.fc40 updates 10.7 MiB flexiblas-openblas-openmp x86_64 3.4.4-1.fc40 updates 39.3 KiB flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc40 updates 39.3 KiB fontconfig x86_64 2.15.0-6.fc40 updates 768.0 KiB fontconfig-devel x86_64 2.15.0-6.fc40 updates 117.2 KiB fonts-filesystem noarch 1:2.0.5-14.fc40 fedora 0.0 B freetype x86_64 2.13.2-5.fc40 fedora 842.6 KiB freetype-devel x86_64 2.13.2-5.fc40 fedora 7.8 MiB fribidi x86_64 1.0.14-2.fc40 updates 367.6 KiB gc x86_64 8.2.2-6.fc40 fedora 258.7 KiB gcc x86_64 14.2.1-3.fc40 updates 104.3 MiB gcc-c++ x86_64 14.2.1-3.fc40 updates 38.2 MiB gcc-gfortran x86_64 14.2.1-3.fc40 updates 37.2 MiB gcc-plugin-annobin x86_64 14.2.1-3.fc40 updates 57.1 KiB gettext x86_64 0.22.5-4.fc40 updates 5.2 MiB gettext-envsubst x86_64 0.22.5-4.fc40 updates 74.9 KiB gettext-libs x86_64 0.22.5-4.fc40 updates 1.7 MiB gettext-runtime x86_64 0.22.5-4.fc40 updates 481.3 KiB glib2 x86_64 2.80.3-1.fc40 updates 14.6 MiB glib2-devel x86_64 2.80.3-1.fc40 updates 15.6 MiB glibc-devel x86_64 2.39-30.fc40 updates 2.2 MiB glpk x86_64 5.0-11.fc40 fedora 870.7 KiB gnutls x86_64 3.8.6-1.fc40 updates 3.2 MiB google-noto-fonts-common noarch 20240301-2.fc40 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240301-2.fc40 fedora 1.2 MiB graphite2 x86_64 1.3.14-15.fc40 fedora 192.0 KiB graphite2-devel x86_64 1.3.14-15.fc40 fedora 49.1 KiB guile30 x86_64 3.0.7-12.fc40 fedora 51.5 MiB harfbuzz x86_64 8.5.0-1.fc40 updates 2.7 MiB harfbuzz-devel x86_64 8.5.0-1.fc40 updates 5.1 MiB harfbuzz-icu x86_64 8.5.0-1.fc40 updates 15.5 KiB java-21-openjdk x86_64 1:21.0.5.0.11-1.fc40 updates 1.1 MiB java-21-openjdk-devel x86_64 1:21.0.5.0.11-1.fc40 updates 11.2 MiB java-21-openjdk-headless x86_64 1:21.0.5.0.11-1.fc40 updates 203.9 MiB javapackages-filesystem noarch 6.2.0-9.fc40 fedora 1.9 KiB jbigkit-libs x86_64 2.1-29.fc40 fedora 117.6 KiB kernel-headers x86_64 6.12.4-100.fc40 updates 6.4 MiB less x86_64 643-6.fc40 updates 372.6 KiB libICE x86_64 1.1.1-3.fc40 fedora 181.2 KiB libRmath x86_64 4.4.2-1.fc40 updates 246.8 KiB libRmath-devel x86_64 4.4.2-1.fc40 updates 17.4 KiB libSM x86_64 1.2.4-3.fc40 fedora 97.3 KiB libX11 x86_64 1.8.10-2.fc40 updates 1.3 MiB libX11-common noarch 1.8.10-2.fc40 updates 1.1 MiB libX11-devel x86_64 1.8.10-2.fc40 updates 1.0 MiB libX11-xcb x86_64 1.8.10-2.fc40 updates 15.0 KiB libXau x86_64 1.0.11-6.fc40 fedora 66.9 KiB libXau-devel x86_64 1.0.11-6.fc40 fedora 6.4 KiB libXcomposite x86_64 0.4.6-3.fc40 fedora 44.5 KiB libXext x86_64 1.3.6-1.fc40 fedora 90.1 KiB libXext-devel x86_64 1.3.6-1.fc40 fedora 98.9 KiB libXft x86_64 2.3.8-6.fc40 fedora 164.5 KiB libXft-devel x86_64 2.3.8-6.fc40 fedora 31.7 KiB libXi x86_64 1.8.2-1.fc40 updates 80.7 KiB libXmu x86_64 1.2.1-1.fc40 updates 187.5 KiB libXrender x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXrender-devel x86_64 0.9.11-6.fc40 fedora 50.1 KiB libXt x86_64 1.3.0-3.fc40 fedora 425.9 KiB libXtst x86_64 1.2.5-1.fc40 updates 33.6 KiB libb2 x86_64 0.98.1-11.fc40 fedora 42.2 KiB libblkid-devel x86_64 2.40.2-1.fc40 updates 44.9 KiB libdatrie x86_64 0.2.13-9.fc40 fedora 57.9 KiB libdeflate x86_64 1.22-2.fc40 updates 118.1 KiB libdeflate-devel x86_64 1.22-2.fc40 updates 25.7 KiB libffi-devel x86_64 3.4.4-7.fc40 fedora 33.3 KiB libfontenc x86_64 1.1.7-3.fc40 fedora 65.0 KiB libgfortran x86_64 14.2.1-3.fc40 updates 3.0 MiB libicu x86_64 74.2-1.fc40 fedora 34.9 MiB libicu-devel x86_64 74.2-1.fc40 fedora 5.6 MiB libjpeg-turbo x86_64 3.0.2-1.fc40 fedora 776.9 KiB liblerc x86_64 4.0.0-6.fc40 fedora 603.5 KiB libmount-devel x86_64 2.40.2-1.fc40 updates 63.5 KiB libmpc x86_64 1.3.1-5.fc40 fedora 164.7 KiB libpng x86_64 2:1.6.40-3.fc40 fedora 241.8 KiB libpng-devel x86_64 2:1.6.40-3.fc40 fedora 881.5 KiB libquadmath x86_64 14.2.1-3.fc40 updates 325.9 KiB libquadmath-devel x86_64 14.2.1-3.fc40 updates 21.9 KiB libselinux-devel x86_64 3.7-5.fc40 updates 126.4 KiB libsepol-devel x86_64 3.7-2.fc40 updates 120.3 KiB libstdc++-devel x86_64 14.2.1-3.fc40 updates 15.4 MiB libtextstyle x86_64 0.22.5-4.fc40 updates 195.6 KiB libthai x86_64 0.1.29-8.fc40 fedora 783.5 KiB libtiff x86_64 4.6.0-5.fc40.1 updates 1.1 MiB libtirpc-devel x86_64 1.3.6-1.fc40 updates 251.6 KiB libwebp x86_64 1.3.2-5.fc40 fedora 793.6 KiB libxcb x86_64 1.17.0-2.fc40 updates 1.1 MiB libxcb-devel x86_64 1.17.0-2.fc40 updates 2.7 MiB libxcrypt-devel x86_64 4.4.36-11.fc40 updates 30.5 KiB libxml2-devel x86_64 2.12.8-1.fc40 updates 3.4 MiB lksctp-tools x86_64 1.0.19-6.fc40 fedora 269.6 KiB lua x86_64 5.4.6-5.fc40 fedora 597.8 KiB lua-posix x86_64 36.2.1-6.fc40 fedora 599.7 KiB make x86_64 1:4.4.1-6.fc40 fedora 1.8 MiB mkfontscale x86_64 1.2.2-6.fc40 fedora 49.2 KiB mpdecimal x86_64 2.5.1-9.fc40 fedora 200.9 KiB nettle x86_64 3.9.1-6.fc40 fedora 790.1 KiB nspr x86_64 4.36.0-1.fc40 updates 316.4 KiB nss x86_64 3.106.0-1.fc40 updates 1.9 MiB nss-softokn x86_64 3.106.0-1.fc40 updates 1.9 MiB nss-softokn-freebl x86_64 3.106.0-1.fc40 updates 869.2 KiB nss-sysinit x86_64 3.106.0-1.fc40 updates 18.2 KiB nss-util x86_64 3.106.0-1.fc40 updates 230.2 KiB openblas x86_64 0.3.26-4.fc40 fedora 96.0 KiB openblas-openmp x86_64 0.3.26-4.fc40 fedora 38.9 MiB openblas-openmp64 x86_64 0.3.26-4.fc40 fedora 39.1 MiB pango x86_64 1.54.0-1.fc40 updates 996.2 KiB pcre2-devel x86_64 10.44-1.fc40 updates 2.0 MiB pcre2-utf16 x86_64 10.44-1.fc40 updates 590.0 KiB pcre2-utf32 x86_64 10.44-1.fc40 updates 562.0 KiB pixman x86_64 0.43.4-1.fc40 updates 710.1 KiB pixman-devel x86_64 0.43.4-1.fc40 updates 49.4 KiB python-pip-wheel noarch 23.3.2-2.fc40 updates 1.5 MiB python3 x86_64 3.12.7-1.fc40 updates 31.5 KiB python3-libs x86_64 3.12.7-1.fc40 updates 41.2 MiB python3-packaging noarch 23.2-4.fc40 fedora 421.1 KiB suitesparse x86_64 7.6.0-1.fc40 fedora 137.1 MiB sysprof-capture-devel x86_64 46.0-1.fc40 fedora 252.8 KiB tcl x86_64 1:8.6.13-3.fc40 updates 4.2 MiB tcl-devel x86_64 1:8.6.13-3.fc40 updates 808.9 KiB tk x86_64 1:8.6.13-3.fc40 fedora 3.6 MiB tk-devel x86_64 1:8.6.13-3.fc40 fedora 983.9 KiB tre x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 75.9 KiB tre-common noarch 0.8.0-43.20140228gitc2f5d13.fc40 fedora 81.0 KiB tre-devel x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora 10.7 KiB ttmkfdir x86_64 3.0.9-70.fc40 fedora 122.7 KiB tzdata noarch 2024a-5.fc40 updates 1.6 MiB tzdata-java noarch 2024a-5.fc40 updates 101.7 KiB xdg-utils noarch 1.2.1-1.fc40 fedora 346.3 KiB xml-common noarch 0.6.3-63.fc40 fedora 78.4 KiB xorg-x11-fonts-Type1 noarch 7.5-38.fc40 fedora 863.3 KiB xorg-x11-proto-devel noarch 2024.1-2.fc40 updates 1.7 MiB xz-devel x86_64 1:5.4.6-3.fc40 fedora 255.8 KiB zlib-ng-compat-devel x86_64 2.1.7-2.fc40 updates 106.8 KiB Transaction Summary: Installing: 177 packages Total size of inbound packages is 318 MiB. Need to download 34 MiB. After this operation, 1 GiB extra will be used (install 1 GiB, remove 0 B). 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127.8 KiB | 00m00s [ 76/179] Installing tzdata-java-0:2024 100% | 99.7 MiB/s | 102.1 KiB | 00m00s [ 77/179] Installing dbus-libs-1:1.14.1 100% | 120.5 MiB/s | 370.1 KiB | 00m00s [ 78/179] Installing avahi-libs-0:0.8-2 100% | 55.0 MiB/s | 168.9 KiB | 00m00s [ 79/179] Installing cups-filesystem-1: 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [ 80/179] Installing alsa-lib-0:1.2.13- 100% | 127.9 MiB/s | 1.4 MiB | 00m00s [ 81/179] Installing libX11-xcb-0:1.8.1 100% | 0.0 B/s | 15.9 KiB | 00m00s [ 82/179] Installing fribidi-0:1.0.14-2 100% | 120.5 MiB/s | 370.1 KiB | 00m00s [ 83/179] Installing lua-0:5.4.6-5.fc40 100% | 146.7 MiB/s | 600.8 KiB | 00m00s [ 84/179] Installing brotli-0:1.1.0-3.f 100% | 31.7 MiB/s | 32.5 KiB | 00m00s [ 85/179] Installing brotli-devel-0:1.1 100% | 66.4 MiB/s | 68.0 KiB | 00m00s [ 86/179] Installing libdatrie-0:0.2.13 100% | 57.7 MiB/s | 59.0 KiB | 00m00s [ 87/179] Installing libthai-0:0.1.29-8 100% | 191.7 MiB/s | 785.3 KiB | 00m00s [ 88/179] Installing libwebp-0:1.3.2-5. 100% | 155.8 MiB/s | 797.7 KiB | 00m00s [ 89/179] Installing liblerc-0:4.0.0-6. 100% | 197.0 MiB/s | 605.0 KiB | 00m00s [ 90/179] Installing jbigkit-libs-0:2.1 100% | 116.8 MiB/s | 119.6 KiB | 00m00s [ 91/179] Installing libtiff-0:4.6.0-5. 100% | 190.6 MiB/s | 1.1 MiB | 00m00s [ 92/179] Installing less-0:643-6.fc40. 100% | 91.8 MiB/s | 376.0 KiB | 00m00s [ 93/179] Installing pcre2-utf32-0:10.4 100% | 274.8 MiB/s | 562.8 KiB | 00m00s [ 94/179] Installing pcre2-utf16-0:10.4 100% | 192.3 MiB/s | 590.9 KiB | 00m00s [ 95/179] Installing pcre2-devel-0:10.4 100% | 133.0 MiB/s | 2.0 MiB | 00m00s [ 96/179] Installing libselinux-devel-0 100% | 15.7 MiB/s | 161.2 KiB | 00m00s [ 97/179] Installing libmount-devel-0:2 100% | 63.0 MiB/s | 64.5 KiB | 00m00s [ 98/179] Installing libtirpc-devel-0:1 100% | 51.4 MiB/s | 263.1 KiB | 00m00s [ 99/179] Installing libfontenc-0:1.1.7 100% | 64.8 MiB/s | 66.4 KiB | 00m00s [100/179] Installing lua-posix-0:36.2.1 100% | 66.7 MiB/s | 614.7 KiB | 00m00s [101/179] Installing copy-jdk-configs-0 100% | 20.5 MiB/s | 21.0 KiB | 00m00s [102/179] Installing lksctp-tools-0:1.0 100% | 66.9 MiB/s | 274.0 KiB | 00m00s [103/179] Installing javapackages-files 100% | 5.2 MiB/s | 5.3 KiB | 00m00s [104/179] Installing google-noto-fonts- 100% | 17.8 MiB/s | 18.3 KiB | 00m00s [105/179] Installing google-noto-sans-v 100% | 249.8 MiB/s | 1.2 MiB | 00m00s [106/179] Installing default-fonts-core 100% | 8.9 MiB/s | 18.2 KiB | 00m00s [107/179] Installing nettle-0:3.9.1-6.f 100% | 193.7 MiB/s | 793.3 KiB | 00m00s [108/179] Installing gnutls-0:3.8.6-1.f 100% | 214.7 MiB/s | 3.2 MiB | 00m00s [109/179] Installing glib2-0:2.80.3-1.f 100% | 235.7 MiB/s | 14.6 MiB | 00m00s [110/179] Installing glib2-devel-0:2.80 100% | 294.7 MiB/s | 15.6 MiB | 00m00s [111/179] Installing cups-libs-1:2.4.11 100% | 121.9 MiB/s | 624.3 KiB | 00m00s [112/179] Installing java-21-openjdk-he 100% | 321.3 MiB/s | 204.0 MiB | 00m01s [113/179] Installing emacs-filesystem-1 100% | 531.2 KiB/s | 544.0 B | 00m00s [114/179] Installing desktop-file-utils 100% | 56.1 MiB/s | 229.8 KiB | 00m00s [115/179] Installing xdg-utils-0:1.2.1- 100% | 113.8 MiB/s | 349.5 KiB | 00m00s [116/179] Installing libX11-common-0:1. 100% | 62.5 MiB/s | 1.2 MiB | 00m00s [117/179] Installing libX11-0:1.8.10-2. 100% | 213.6 MiB/s | 1.3 MiB | 00m00s [118/179] Installing libXext-0:1.3.6-1. 100% | 44.6 MiB/s | 91.3 KiB | 00m00s [119/179] Installing libXrender-0:0.9.1 100% | 16.7 MiB/s | 51.4 KiB | 00m00s [120/179] Installing libX11-devel-0:1.8 100% | 32.9 MiB/s | 1.1 MiB | 00m00s [121/179] Installing libXrender-devel-0 100% | 49.8 MiB/s | 51.0 KiB | 00m00s [122/179] Installing libXi-0:1.8.2-1.fc 100% | 79.9 MiB/s | 81.8 KiB | 00m00s [123/179] Installing libXt-0:1.3.0-3.fc 100% | 139.0 MiB/s | 427.1 KiB | 00m00s [124/179] Installing libXmu-0:1.2.1-1.f 100% | 185.0 MiB/s | 189.5 KiB | 00m00s [125/179] Installing libXtst-0:1.2.5-1. 100% | 33.8 MiB/s | 34.7 KiB | 00m00s [126/179] Installing libXext-devel-0:1. 100% | 27.1 MiB/s | 110.9 KiB | 00m00s [127/179] Installing libXcomposite-0:0. 100% | 2.5 MiB/s | 46.1 KiB | 00m00s [128/179] Installing xml-common-0:0.6.3 100% | 26.4 MiB/s | 81.1 KiB | 00m00s [129/179] Installing cairo-0:1.18.0-3.f 100% | 192.4 MiB/s | 1.7 MiB | 00m00s [130/179] Installing harfbuzz-0:8.5.0-1 100% | 225.2 MiB/s | 2.7 MiB | 00m00s [131/179] Installing freetype-0:2.13.2- 100% | 164.9 MiB/s | 844.3 KiB | 00m00s [132/179] Installing fontconfig-0:2.15. 100% | 752.6 KiB/s | 787.2 KiB | 00m01s [133/179] Installing libXft-0:2.3.8-6.f 100% | 8.1 MiB/s | 166.0 KiB | 00m00s [134/179] Installing tk-1:8.6.13-3.fc40 100% | 130.0 MiB/s | 3.6 MiB | 00m00s [135/179] Installing pango-0:1.54.0-1.f 100% | 139.8 MiB/s | 1.0 MiB | 00m00s [136/179] Installing mkfontscale-0:1.2. 100% | 24.7 MiB/s | 50.6 KiB | 00m00s [137/179] Installing ttmkfdir-0:3.0.9-7 100% | 60.4 MiB/s | 123.8 KiB | 00m00s [138/179] Installing xorg-x11-fonts-Typ 100% | 12.1 MiB/s | 865.6 KiB | 00m00s [139/179] Installing java-21-openjdk-1: 100% | 39.1 MiB/s | 1.1 MiB | 00m00s [140/179] Installing java-21-openjdk-de 100% | 175.6 MiB/s | 11.2 MiB | 00m00s [141/179] Installing harfbuzz-icu-0:8.5 100% | 8.0 MiB/s | 16.3 KiB | 00m00s [142/179] Installing fontconfig-devel-0 100% | 14.8 MiB/s | 151.9 KiB | 00m00s [143/179] Installing freetype-devel-0:2 100% | 231.1 MiB/s | 7.9 MiB | 00m00s [144/179] Installing cairo-devel-0:1.18 100% | 229.1 MiB/s | 2.3 MiB | 00m00s [145/179] Installing harfbuzz-devel-0:8 100% | 221.9 MiB/s | 5.1 MiB | 00m00s [146/179] Installing libXft-devel-0:2.3 100% | 10.8 MiB/s | 44.3 KiB | 00m00s [147/179] Installing tk-devel-1:8.6.13- 100% | 77.7 MiB/s | 1.0 MiB | 00m00s [148/179] Installing gc-0:8.2.2-6.fc40. 100% | 51.0 MiB/s | 261.2 KiB | 00m00s [149/179] Installing guile30-0:3.0.7-12 100% | 299.9 MiB/s | 51.6 MiB | 00m00s [150/179] Installing make-1:4.4.1-6.fc4 100% | 138.5 MiB/s | 1.8 MiB | 00m00s [151/179] Installing gcc-0:14.2.1-3.fc4 100% | 296.6 MiB/s | 104.4 MiB | 00m00s 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MiB/s | 2.9 MiB | 00m00s [178/179] Installing gcc-plugin-annobin 100% | 1.7 MiB/s | 58.6 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [179/179] Installing annobin-plugin-gcc 100% | 907.1 KiB/s | 977.9 KiB | 00m01s Warning: skipped OpenPGP checks for 14 packages from repository: copr_base Complete! Finish: build setup for R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm Start: rpmbuild R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.Tw7TRl + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf nimble + /usr/bin/mkdir -p nimble + cd nimble + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/nimble_1.3.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/nimble-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/nimble-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d nimble/src ']' + find nimble/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d nimble/src ']' + find nimble/src/Makevars.in nimble/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.qDibxH + 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 -march=x86-64 -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 -march=x86-64 -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 -march=x86-64 -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 -march=x86-64 -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=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd nimble + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.CjfWZo + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.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 -march=x86-64 -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 -march=x86-64 -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 -march=x86-64 -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 -march=x86-64 -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=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd nimble + mkdir -p /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library nimble * installing *source* package ‘nimble’ ... ** package ‘nimble’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++ -std=gnu++17 accepts -g... yes checking for g++ -std=gnu++17 option to enable C++11 features... none needed working on eigen checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for Eigen/Dense... no Using the version of Eigen provided with NIMBLE ENABLE_LIB=true configure: creating ./config.status config.status: creating inst/make/Makevars config.status: creating inst/make/Makevars_lib config.status: creating R/config.R config.status: creating src/Makevars config.status: creating inst/CppCode/Makevars removing debugging flags /usr/lib64/R/bin/Rscript --vanilla ./customizeMakeconf.R Building libnimble g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimOptim.cpp -o nimOptim.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/NimArr.h:26, from ../include/nimble/nimOptim.h:25, from nimOptim.cpp:23: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ nimOptim.cpp: In member function 'nimSmartPtr NimOptimProblem::solve(NimArr<1, double>&)': nimOptim.cpp:205:33: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long unsigned int'} and 'const int' [-Wsign-compare] 205 | for(size_t iii = 0; iii < n; ++iii) X[iii] = dpar[iii]; | ~~~~^~~ In file included from ../include/nimble/predefinedNimbleLists.h:7, from ../include/nimble/nimOptim.h:26: In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:117:3: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_2(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:117:3: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_2(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::setPtrFromT(OptimResultNimbleList*&)' at ../include/nimble/smartPtrs.h:55:39, inlined from 'nimSmartPtr::setPtrFromVoidPtr(void*&)' at ../include/nimble/smartPtrs.h:64:16: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::setPtrFromT(OptimControlNimbleList*&)' at ../include/nimble/smartPtrs.h:55:39, inlined from 'nimSmartPtr::setPtrFromVoidPtr(void*&)' at ../include/nimble/smartPtrs.h:64:16: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_dyn_ind.cpp -o nimDerivs_atomic_dyn_ind.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_dyn_ind.h:6, from nimDerivs_atomic_dyn_ind.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ nimDerivs_atomic_dyn_ind.cpp: In member function 'virtual bool atomic_dyn_ind_set_class::for_type(const CppAD::vector&, const CppAD::vector&, CppAD::vector&)': nimDerivs_atomic_dyn_ind.cpp:149:10: warning: unused variable 'nx' [-Wunused-variable] 149 | size_t nx = length_x-2; | ^~ nimDerivs_atomic_dyn_ind.cpp: In member function 'virtual bool atomic_dyn_ind_set_class::rev_depend(const CppAD::vector&, const CppAD::vector&, CppAD::vector&, const CppAD::vector&)': nimDerivs_atomic_dyn_ind.cpp:178:10: warning: unused variable 'nx' [-Wunused-variable] 178 | size_t nx = length_x-2; | ^~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nodeFun.cpp -o nodeFun.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/NimArr.h:26, from ../include/nimble/nodeFun.h:24, from nodeFun.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c accessorClasses.cpp -o accessorClasses.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/accessorClasses.h:31, from accessorClasses.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimbleCppAD.cpp -o nimbleCppAD.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from nimbleCppAD.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/nimble/EigenTypedefs.h:28: In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:117:3: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_2(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::setPtrFromT(NIMBLE_ADCLASS*&)' at ../include/nimble/smartPtrs.h:55:39, inlined from 'nimSmartPtr::setPtrFromVoidPtr(void*&)' at ../include/nimble/smartPtrs.h:64:16: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'this_5(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ In member function 'pointedToBase::~pointedToBase()', inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14, inlined from 'pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8, inlined from 'nimSmartPtr::~nimSmartPtr()' at ../include/nimble/smartPtrs.h:116:29, inlined from 'nimDerivs_calculate(NodeVectorClassNew_derivs&, NimArr<1, double> const&)' at nimbleCppAD.cpp:115:1: ../include/nimble/smartPtrs.h:147:29: warning: 'operator delete(void*, unsigned long)' called on pointer 'ansList_9(D)->realPtr' with nonzero offset 56 [-Wfree-nonheap-object] 147 | virtual ~pointedToBase() {}; | ^ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppUtils.cpp -o RcppUtils.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c EigenTypedefs.cpp -o EigenTypedefs.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from EigenTypedefs.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c eigenUsingClasses.cpp -o eigenUsingClasses.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from eigenUsingClasses.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:357:32: required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]' 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~^~~ ../include/nimble/EigenTypedefs.h:173:49: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:679:37: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:697:32: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:697:60: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix >, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:705:61: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:765:62: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 765 | if(computeU() && (a&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' 56 | template class VectorBlock | ^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:777:65: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:228:33: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 228 | m_adjoint = matrix.adjoint(); | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 1>' 187 | template class TriangularView | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:231:121: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView().adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/misc/RealSvd2x2.h:25:26: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' 25 | Matrix m; | ^ ../include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 297 | RowXpr x(this->row(p)); | ^ ../include/Eigen/src/SVD/JacobiSVD.h:733:40: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]' 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:758:39: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/ReturnByValue.h:50:34: required from 'class Eigen::ReturnByValue > >' 50 | template class ReturnByValue | ^~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >' 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:468:34: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:492:76: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:598:25: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:39: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, -1, -1>, -1, 1, true>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Block, -1, -1>, -1, 1, true> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:147:18: required from 'void Eigen::MatrixBase::normalize() [with Derived = Eigen::Block, -1, -1>, -1, 1, true>]' 147 | RealScalar z = squaredNorm(); | ^~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:358:28: required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]' 358 | matV.col(j).normalize(); | ~~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:173:49: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 297 | dst.diagonal().setOnes(); | ~~~~~~~~~~~~^~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 2, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 2, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 297 | RowXpr x(this->row(p)); | ^ ../include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 2, false> >' 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, 2, false>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 2, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 297 | RowXpr x(this->row(p)); | ^ ../include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:733:40: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:734:53: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from 'Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' 735 | return setConstant(Scalar(1)); | ~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 440 | m_eivec.setOnes(n,n); | ~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from 'Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' 892 | return setIdentity(); | ~~~~~~~~~~~^~ ../include/Eigen/src/SVD/JacobiSVD.h:698:45: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 2, false> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:777:88: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:370:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 3, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 3, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 3, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 3, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 3, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from 'void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]' 535 | Matrix ess; | ^~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:679:71: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, 5>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]' 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:516:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:526:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]' 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:536:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:541:69: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, -1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from 'static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]' 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]' 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]' 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]' 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]' 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]' 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]' 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]' 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, std::complex >' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, const Eigen::Block, -1, 1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = assign_op, std::complex >]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, -1>, -1, 1, true>]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:357:19: required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]' 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:49: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' 182 | return coeff(index); | ~~~~~^~~~~~~ ../include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ ../include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:86:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:86:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:697:18: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]' 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:167:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]' 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 2, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:333: ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Householder/Householder.h:168:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from 'struct Eigen::internal::product_triangular_matrix_matrix' 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 3, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ../include/Eigen/Core:337: ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>' 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >' 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:526:76: required from 'struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>' 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >' 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:526:76: required from 'struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>' 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >' 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]' 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:166: ../include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:145:36: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' 94 | template class Map | ^~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 2, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 2, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 2, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 2, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 2, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, 2, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, 1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:37: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:618:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:229:19: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 2, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 2, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, 2, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 2, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, 1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 2, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from 'Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from 'Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:153:25: required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../include/nimble/EigenTypedefs.h:106:25: required from 'nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:236:47: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:201:17: required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:113:23: required from 'nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]': ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: 'result_66' may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type 'const double *' to 'Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)' declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:341: ../include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]': ../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result_43' may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double *' to 'Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)' declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppNimbleUtils.cpp -o RcppNimbleUtils.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from RcppNimbleUtils.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Utils.cpp -o Utils.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/RcppNimbleUtils.h:24, from Utils.cpp:24: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c NamedObjects.cpp -o NamedObjects.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/RcppNimbleUtils.h:24, from ../include/nimble/NamedObjects.h:28, from NamedObjects.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c ModelClassUtils.cpp -o ModelClassUtils.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/RcppNimbleUtils.h:24, from ../include/nimble/NamedObjects.h:28, from ../include/nimble/ModelClassUtils.h:25, from ModelClassUtils.cpp:22: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c dists.cpp -o dists.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDists.cpp -o nimDists.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/NimArr.h:26, from ../include/nimble/nimDists.h:25, from nimDists.cpp:24: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c dllFinalizer.cpp -o dllFinalizer.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimbleGraph.cpp -o nimbleGraph.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c smartPtrs.cpp -o smartPtrs.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c predefinedNimbleLists.cpp -o predefinedNimbleLists.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/RcppNimbleUtils.h:24, from ../include/nimble/NamedObjects.h:28, from ../include/nimble/predefinedNimbleLists.h:9, from predefinedNimbleLists.cpp:6: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimIntegrate.cpp -o nimIntegrate.o In file included from ../include/Eigen/Core:205, from ../include/nimble/NimArrBase.h:33, from ../include/nimble/NimArr.h:26, from ../include/nimble/nimIntegrate.h:25, from nimIntegrate.cpp:29: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_classes.cpp -o nimDerivs_atomic_classes.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_classes.h:11, from nimDerivs_atomic_classes.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_matmult.cpp -o nimDerivs_atomic_matmult.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_matmult.h:11, from nimDerivs_atomic_matmult.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_matmult.cpp:629:78: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:229:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 229 | Y = X1.template triangularView() * temp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:240:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 240 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:248:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 248 | Y = X1.template triangularView() * temp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:259:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 259 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:267:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 266 | Y = X1 | ~~ 267 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:273:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 272 | Y = X1 | ~~ 273 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:278:14: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 278 | Y = X1 * X2; // general case is here | ~~~^~~~ nimDerivs_atomic_matmult.cpp:389:44: required from here 389 | matmult_internal_respecting_upper_lower(X1mapC, X2mapC, Ymap, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:240:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 240 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:629:46: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 630 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:259:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 259 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:629:46: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 630 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:267:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 266 | Y = X1 | ~~ 267 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:629:46: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 630 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:273:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 272 | Y = X1 | ~~ 273 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:629:46: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 630 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:278:14: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 278 | Y = X1 * X2; // general case is here | ~~~^~~~ nimDerivs_atomic_matmult.cpp:629:46: required from here 629 | matmult_internal_respecting_upper_lower(Yadjoint_mapC, X2mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 630 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:229:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 229 | Y = X1.template triangularView() * temp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:240:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 240 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:248:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 248 | Y = X1.template triangularView() * temp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:259:54: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 259 | Y = X1.template triangularView() * X2; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:267:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 266 | Y = X1 | ~~ 267 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 1>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:273:2: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 272 | Y = X1 | ~~ 273 | * X2.template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matmult.cpp:278:14: required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 278 | Y = X1 * X2; // general case is here | ~~~^~~~ nimDerivs_atomic_matmult.cpp:637:46: required from here 637 | matmult_internal_respecting_upper_lower( X1mapC.transpose(), Yadjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 638 | transpose_X1cat(), unknown ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:337:3: required from 'void Eigen::DenseBase::fill(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 337 | setConstant(val); | ^~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:433:18: required from here 433 | dY_map.fill(0); | ~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from 'struct Eigen::internal::product_triangular_matrix_matrix' 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:300:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 300 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:159:73: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 159 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 310 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; int ProductTag = 8; Scalar = double]' 783 | triangular_product_impl::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 346 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 347 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 348 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; int ProductTag = 8; Scalar = double]' 783 | triangular_product_impl::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, false> >; Scalar = double; Eigen::Index = long int]' 391 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]' 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]' 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]' 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:309:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 309 | Y += X1 | ~~^~~~~ 310 | * X2.template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:415:45: required from here 415 | matmult_internal_respecting_upper_lower_add(X1mapC, dX2mapC, dY_map, X1cat(), X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:295:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 295 | Y += X1.template triangularView() * X2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:290:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 290 | Y += X1.template triangularView() * temp; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:680:50: required from here 680 | matmult_internal_respecting_upper_lower_add(X1dot_mapC.transpose(), Ydot_adjoint_mapC, X2adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | transpose_X1cat(), unknown); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matmult.cpp:315:9: required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 315 | Y += X1 * X2; // general case is here | ~~^~~~~~~~~~ nimDerivs_atomic_matmult.cpp:673:50: required from here 673 | matmult_internal_respecting_upper_lower_add(Ydot_adjoint_mapC, X2dot_mapC.transpose(), X1adjoint_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 674 | unknown, transpose_X2cat()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_matinverse.cpp -o nimDerivs_atomic_matinverse.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimDerivs_vecmat_utils.h:5, from ../include/nimble/nimDerivs_atomic_matinverse.h:9, from nimDerivs_atomic_matinverse.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 68 | class InverseImpl | ^~~~~~~~~~~ ../include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >' 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:126:24: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:14: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:153:21: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:35: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:36: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:241:40: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:249:50: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:249:61: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_matinverse.cpp:249:76: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:251:40: required from here 251 | Xadjoint_map += Ymap.transpose() * Ydot_adjoint_map * Y_Xdot_Y_transpose + | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:251:60: required from here 251 | Xadjoint_map += Ymap.transpose() * Ydot_adjoint_map * Y_Xdot_Y_transpose + | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' 68 | class InverseImpl | ^~~~~~~~~~~ ../include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ ../include/Eigen/src/LU/InverseImpl.h:28:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]' 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from 'Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]' 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 82 | gebp_kernel gebp; | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 82 | gebp_kernel gebp; | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:533:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:533:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' 133 | compute(); | ~~~~~~~^~ ../include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' 455 | scaleAndAddTo(dst,lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix, 1> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix]' 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:333: ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': ../include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ ../include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ ../include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:587:60: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]' 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ ../include/Eigen/src/LU/PartialPivLU.h:587:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]' 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/MapBase.h:268:7: required from 'Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]' 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, false> >; Scalar = double; Eigen::Index = long int]' 391 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:250:81: required from here 250 | Eigen::MatrixXd Ydot_adjoint_Ytranspose = Ydot_adjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:253:45: required from here 253 | Xdot_adjoint_map = -Ymap.transpose() * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:493:62: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Map, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; RhsT = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' 274 | evaluator rhsEval(rhs); | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ ../include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ ../include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:252:28: required from here 252 | Y_Xdot_Y_transpose * Ydot_adjoint_Ytranspose; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:241:71: required from here 241 | Xadjoint_map = -Ymap.transpose() * Yadjoint_map * Ymap.transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:153:29: required from here 153 | dYmap = -Ymap * dXmap * Ymap; | ^~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_matinverse.cpp:249:77: required from here 249 | Eigen::MatrixXd Y_Xdot_Y_transpose = (Ymap * Xdot_map * Ymap).transpose(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Inverse, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_matinverse.cpp:126:31: required from here 126 | Ymap = Xmap.inverse().eval(); // This eval is necessary if nrow > 1 | ~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_backsolve.cpp -o nimDerivs_atomic_backsolve.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimDerivs_vecmat_utils.h:5, from ../include/nimble/nimDerivs_atomic_solve_base.h:9, from ../include/nimble/nimDerivs_atomic_backsolve.h:4, from nimDerivs_atomic_backsolve.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:77:12: required from here 242 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 124 | dY_map = ND_SOLVE(Amap, dB_map - ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 124 | dY_map = ND_SOLVE(Amap, dB_map - ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 242 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:130:17: required from here 242 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:65: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:20: required from here 244 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:327:20: required from here 244 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 331 | Aadjoint_map = ND_MAIN_TRI(-Badjoint_map * YmapC.transpose()); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 331 | Aadjoint_map = ND_MAIN_TRI(-Badjoint_map * YmapC.transpose()); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 244 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 242 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 242 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:80: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 380 | Aadjoint_map -= ND_MAIN_TRI(Bdot_adjoint_map * Ydot_map.transpose()); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ nimDerivs_atomic_backsolve.cpp: In function 'void atomic_backsolve(const MatrixXd_CppAD&, const MatrixXd_CppAD&, MatrixXd_CppAD&)': nimDerivs_atomic_backsolve.cpp:290:15: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long int'} and 'size_t' {aka 'long unsigned int'} [-Wsign-compare] 290 | if(A.cols() != n1) | ~~~~~~~~~^~~~~ nimDerivs_atomic_backsolve.cpp:292:15: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long int'} and 'size_t' {aka 'long unsigned int'} [-Wsign-compare] 292 | if(B.rows() != n1) | ~~~~~~~~~^~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:59: required from here 327 | Badjoint_map = ND_TRANS_SOLVE(Amap, Yadjoint_map).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ../include/Eigen/Core:333: ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:59: required from here 327 | Badjoint_map = ND_TRANS_SOLVE(Amap, Yadjoint_map).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Map, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, false> >; Scalar = double; Eigen::Index = long int]' 391 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 243 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_forwardsolve.cpp -o nimDerivs_atomic_forwardsolve.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimDerivs_vecmat_utils.h:5, from ../include/nimble/nimDerivs_atomic_solve_base.h:9, from ../include/nimble/nimDerivs_atomic_forwardsolve.h:4, from nimDerivs_atomic_forwardsolve.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:77:12: required from here 179 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 124 | dY_map = ND_SOLVE(Amap, dB_map - ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 124 | dY_map = ND_SOLVE(Amap, dB_map - ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:124:16: required from here 179 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:130:17: required from here 179 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:65: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:20: required from here 181 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:327:20: required from here 181 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 331 | Aadjoint_map = ND_MAIN_TRI(-Badjoint_map * YmapC.transpose()); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 331 | Aadjoint_map = ND_MAIN_TRI(-Badjoint_map * YmapC.transpose()); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 181 | #define ND_TRANS_SOLVE(A, B) (A).transpose().template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > > >' 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 179 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_solve_generic.cpp:372:23: required from here 179 | #define ND_SOLVE(A, B) (A).template triangularView().solve(B) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:80: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 380 | Aadjoint_map -= ND_MAIN_TRI(Bdot_adjoint_map * Ydot_map.transpose()); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:59: required from here 327 | Badjoint_map = ND_TRANS_SOLVE(Amap, Yadjoint_map).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ../include/Eigen/Core:333: ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:77:37: required from here 77 | Ymap = ND_SOLVE(Amap, Bmap).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:327:59: required from here 327 | Badjoint_map = ND_TRANS_SOLVE(Amap, Yadjoint_map).eval(); ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 1> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Map, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >]' 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:68: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, false> >; Scalar = double; Eigen::Index = long int]' 391 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/Parallelizer.h:114:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Scalar = double]' 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]' 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:373:85: required from here 373 | ND_TRANS_SOLVE(Amap, Adot_stuff).eval().transpose()).eval().transpose() * Ydot_adjoint_map; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:331:17: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/TriangularMatrix.h:807:20: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op]' 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:856:103: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op]' 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/EigenBase.h:154:18: required from 'Derived& Eigen::DenseBase::operator-=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 154 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:380:23: required from here 180 | #define ND_MAIN_TRI(A) (A).template triangularView() | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_solve_generic.cpp:130:64: required from here 130 | dY_map = -ND_SOLVE(Amap, ND_MAIN_TRI(dA_map) * Ymap).eval(); ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_cholesky.cpp -o nimDerivs_atomic_cholesky.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimDerivs_vecmat_utils.h:5, from ../include/nimble/nimDerivs_atomic_cholesky.h:9, from nimDerivs_atomic_cholesky.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_cholesky.cpp:245:21: required from here 245 | Ymap.transpose().triangularView().solve( | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:246:66: required from here 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_cholesky.cpp:246:93: required from here 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > > >' 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:245:60: required from here 245 | Ymap.transpose().triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 247 | ).eval().triangularView(); | ~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:245:60: required from here 245 | Ymap.transpose().triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 247 | ).eval().triangularView(); | ~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_cholesky.cpp:386:65: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_cholesky.cpp:386:106: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_cholesky.cpp:394:90: required from here 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:394:67: required from here 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' 52 | template class Transpose | ^~~~~~~~~ nimDerivs_atomic_cholesky.cpp:394:111: required from here 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:393:93: required from here 393 | Eigen::MatrixXd Uinv_PhiStuff_UinvT = Ymap.template triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 395 | ).eval(); | ~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:105: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>' 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >' 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ nimDerivs_atomic_cholesky.cpp:462:87: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ nimDerivs_atomic_cholesky.cpp:462:107: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' 56 | template class VectorBlock | ^~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:91: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' 56 | template class VectorBlock | ^~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:277: ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Scalar = double]' 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0, 7>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:246:81: required from here 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1, 8>' 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1, Eigen::Dense>' 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 1>' 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]' 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]' 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >': ../include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>' 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]' 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from ../include/Eigen/Core:330: ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block >, -1, -1, false>; _MatrixType = const Eigen::Transpose >, -1, -1, false> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Transpose >; Scalar = double; Eigen::Index = long int]' 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block >, -1, -1, false>; _MatrixType = const Eigen::Transpose >, -1, -1, false> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Transpose >; Scalar = double; Eigen::Index = long int]' 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block >, -1, -1, false>; _MatrixType = const Eigen::Transpose >, -1, -1, false> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Transpose >; Scalar = double; Eigen::Index = long int]' 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >, -1, -1, false> >; Rhs = Eigen::Block >, -1, -1, false>; int Side = 2; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block >, -1, -1, false>; _MatrixType = const Eigen::Transpose >, -1, -1, false> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Transpose >; Scalar = double; Eigen::Index = long int]' 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:53:12: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' 49 | general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | ::run(size,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block >, -1, -1, false>; OtherType = Eigen::Block >, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block >, -1, -1, false>; _MatrixType = Eigen::Block >, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Transpose >; Scalar = double; Eigen::Index = long int]' 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]' 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]' 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:53:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:333: ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, false>; Lhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, false>; Lhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ ../include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, false>; Lhs = const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; Scalar = double]' 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Scalar = double]' 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Scalar = double]' 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:394:99: required from here 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:394:99: required from here 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:395:23: required from here 393 | Eigen::MatrixXd Uinv_PhiStuff_UinvT = Ymap.template triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 394 | Ymap.template triangularView().solve( Yadjoint_UT.transpose() ).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 395 | ).eval(); | ~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, false>, -1, -1, false>, 1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 260 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 261 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 262 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 263 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:247:18: required from here 245 | Ymap.transpose().triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 247 | ).eval().triangularView(); | ~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]' 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; OtherDerived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Solve, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose > >; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:247:18: required from here 245 | Ymap.transpose().triangularView().solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 246 | (Ymap.transpose().triangularView().solve(tempMat)).eval().transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 247 | ).eval().triangularView(); | ~~~~~~^~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, 1, false>, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false>, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; CoeffReturnType = double; Eigen::Index = long int]' 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, -1, -1, false>, 1, -1, true>; U = Eigen::Block >, 1, -1, false> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, -1, -1, false>, 1, -1, true>, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, -1, -1, false>, -1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Func = assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; OtherDerived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseBase.h:412:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, 0, Eigen::Stride<-1, -1> >, Eigen::Solve, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>; EvalReturnType = const Eigen::Matrix]' 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:462:115: required from here 462 | Eigen::MatrixXd R = (Ydot_map * Ymap.template triangularView().solve( P + P.transpose() ) ).eval().template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false>, 1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false>, 1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >' 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]' 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix]' 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 850 | typename plain_matrix_type::type tmp(src); | ^~~ ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<-1, -1> >]' 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:261:67: required from here 261 | dYmap = UinvT_dSigma_Uinv * Ymap.triangularView(); // other elements of Ymap might be nans | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> > >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>' 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >' 52 | template class Transpose | ^~~~~~~~~ ../include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 38 | >::type Scalar; | ^~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]' 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, false>' 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>' 103 | template class Block | ^~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>' 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Map, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]' 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, -1, -1, false>, 1, -1, true>; U = Eigen::Block >, 1, -1, false> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, 1, -1, false> >, -1, 1, true>; Derived = Eigen::Block >, -1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; Eigen::Index = long int]': ../include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >; Scalar = double]' 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, -1, -1, false>, -1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; Derived = Eigen::Block >, -1, -1, false>, -1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Cholesky/LLT.h:391:47: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' 391 | return llt_inplace::blocked(matt); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../include/Eigen/src/Cholesky/LLT.h:418:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' 418 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix; int _UpLo = 2]' 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Cholesky/LLT.h:553:10: required from 'const Eigen::LLT Eigen::SelfAdjointView::llt() const [with _MatrixType = Eigen::Map, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix]' 553 | return LLT(m_matrix); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ nimDerivs_atomic_cholesky.cpp:194:61: required from here 194 | Ymap = Xmap.template selfadjointView().llt().matrixU(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >': ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op]' 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]' 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >': ../include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >' 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >' 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op]' 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]' 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:628:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:605:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix]' 605 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' 423 | : Base(other.derived()) | ^ nimDerivs_atomic_cholesky.cpp:386:147: required from here 386 | Eigen::MatrixXd Yadjoint_UT = (Yadjoint_map * Ymap.transpose().template triangularView()).template triangularView(); | ^ ../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_solve_base.cpp -o nimDerivs_atomic_solve_base.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimDerivs_vecmat_utils.h:5, from ../include/nimble/nimDerivs_atomic_solve_base.h:9, from nimDerivs_atomic_solve_base.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:144:53: required from here 144 | EigenTemplateTypes::typeEigenConstMapStrd X1mapC, X2mapC, dX1mapC, dX2mapC; | ^~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, -1> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<-1, -1> >' 94 | template class Map | ^~~ ../include/nimble/nimDerivs_atomic_matmult.h:147:48: required from here 147 | EigenTemplateTypes::typeEigenMapStrd Ymap, dY_map; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_pow_int.cpp -o nimDerivs_atomic_pow_int.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_pow_int.h:10, from nimDerivs_atomic_pow_int.cpp:17: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_zround.cpp -o nimDerivs_atomic_zround.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_zround.h:9, from nimDerivs_atomic_zround.cpp:12: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_log_pow_int.cpp -o nimDerivs_atomic_log_pow_int.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_log_pow_int.h:9, from nimDerivs_atomic_log_pow_int.cpp:44: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I"../include" -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimDerivs_atomic_probit.cpp -o nimDerivs_atomic_probit.o In file included from ../include/Eigen/Core:205, from ../include/Eigen/Dense:1, from ../include/nimble/EigenTypedefs.h:24, from ../include/nimble/nimbleCppAD.h:38, from ../include/nimble/nimDerivs_atomic_probit.h:9, from nimDerivs_atomic_probit.cpp:1: ../include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../include/Eigen/Core:174: ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:165: ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../include/Eigen/Core:271: ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from 'class Eigen::SelfAdjointEigenSolver >' 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' 63 | template class Diagonal | ^~~~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from 'class Eigen::Tridiagonalization >' 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 2>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../include/Eigen/Core:361: ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 2>': ../include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' 94 | template class Map | ^~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h:63:52: required from 'class Eigen::Reverse, 1>' 63 | template class Reverse | ^~~~~~~ ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse, 1>': ../include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' 178 | class Matrix | ^~~~~~ ../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from 'class Eigen::HessenbergDecomposition >' 277 | VectorType m_temp; | ^~~~~~ ../include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from 'class Eigen::RealSchur >' 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from 'class Eigen::EigenSolver >' 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>': ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>' 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >' 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>' 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>' 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>' 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>' 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>' 103 | template class Block | ^~~~~ ../include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>': ../include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>' 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>' 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >' 41 | template class DenseBase | ^~~~~~~~~ ../include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >' 48 | template class MatrixBase | ^~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from 'class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>' 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >' 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ linking libnimble.so Linux g++ -std=gnu++17 -shared -o libnimble.so nimOptim.o nimDerivs_atomic_dyn_ind.o nodeFun.o accessorClasses.o nimbleCppAD.o RcppUtils.o EigenTypedefs.o eigenUsingClasses.o RcppNimbleUtils.o Utils.o NamedObjects.o ModelClassUtils.o dists.o nimDists.o dllFinalizer.o nimbleGraph.o smartPtrs.o predefinedNimbleLists.o nimIntegrate.o nimDerivs_atomic_classes.o nimDerivs_atomic_matmult.o nimDerivs_atomic_matinverse.o nimDerivs_atomic_backsolve.o nimDerivs_atomic_forwardsolve.o nimDerivs_atomic_cholesky.o nimDerivs_atomic_solve_base.o nimDerivs_atomic_pow_int.o nimDerivs_atomic_zround.o nimDerivs_atomic_log_pow_int.o nimDerivs_atomic_probit.o In function 'nimble_malloc', inlined from 'setLength' at ../include/nimble/NimArrBase.h:149:32: ../include/nimble/NimArrBase.h:68:10: warning: argument 1 value '18446744073709551615' exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 68 | return new T[size]; | ^ /usr/include/c++/14/new: In member function 'setLength': /usr/include/c++/14/new:133:26: note: in a call to allocation function 'operator new []' declared here 133 | _GLIBCXX_NODISCARD void* operator new[](std::size_t) _GLIBCXX_THROW (std::bad_alloc) | ^ rm *.o rm -f Makeconf ** libs using C++ compiler: ‘g++ (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I../inst/include -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppUtils.cpp -o RcppUtils.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I../inst/include -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c dists.cpp -o dists.o g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I../inst/include -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c eigenUsingClasses.cpp -o eigenUsingClasses.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/nimble/EigenTypedefs.h:24, from eigenUsingClasses.cpp:22: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from ‘class Eigen::SelfAdjointEigenSolver >’ 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from ‘class Eigen::SelfAdjointEigenSolver >’ 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from ‘class Eigen::Tridiagonalization >’ 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, 2>’ 63 | template class Reverse | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:361: ../inst/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, 2>’: ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, 1>’ 63 | template class Reverse | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, 1>’: ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, 1> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from ‘class Eigen::HessenbergDecomposition >’ 277 | VectorType m_temp; | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:32: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~^~~ ../inst/include/nimble/EigenTypedefs.h:173:49: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 765 | if(computeU() && (a&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:228:33: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 228 | m_adjoint = matrix.adjoint(); | ~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView().adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 25 | Matrix m; | ^ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:758:39: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:34: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:76: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:598:25: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:39: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, -1, -1>, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, -1, -1>, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase::normalize() [with Derived = Eigen::Block, -1, -1>, -1, 1, true>]’ 147 | RealScalar z = squaredNorm(); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:358:28: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 358 | matV.col(j).normalize(); | ~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:173:49: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 297 | dst.diagonal().setOnes(); | ~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:277: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 735 | return setConstant(Scalar(1)); | ~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 440 | m_eivec.setOnes(n,n); | ~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 892 | return setIdentity(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 535 | Matrix ess; | ^~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, -1, -1> >, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:173:84: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, std::complex >’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = assign_op, std::complex >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, -1>, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:19: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:173:49: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:333: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:330: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:337: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:166: ../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:145:36: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | SelfAdjointEigenSolver solver1(x, eigOpts); // The MatrixXd here doesn't seem generic, but I couldn't get it to work otherwise and it would be odd to do an Eigen decomposition on anything else. -Perry | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: ../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:153:25: required from ‘void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 153 | EigenSolver solver2(x, eigOpts); | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:106:25: required from ‘nimSmartPtr EIGEN_EIGEN_R(const Eigen::MatrixBase&, bool, bool) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 106 | EIGEN_EIGEN_INTERNAL(x, symmetric, valuesOnly, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:172:51: required from here 172 | EIGEN_EIGENCLASS_R C_eigenClass = *EIGEN_EIGEN_R(Eig_x, symmetric, valuesOnly); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:201:17: required from ‘void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 201 | svd.compute(x, ComputeThinU | ComputeThinV); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:113:23: required from ‘nimSmartPtr EIGEN_SVD_R(const Eigen::MatrixBase&, int) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 113 | EIGEN_SVD_INTERNAL(x, vectors, returnClass.getRealPtr()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ eigenUsingClasses.cpp:185:45: required from here 185 | EIGEN_SVDCLASS_R C_svdClass = *EIGEN_SVD_R(Eig_x, vectors); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:341: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I../inst/include -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimble.cpp -o nimble.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from nimble.cpp:1: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from ‘class Eigen::SelfAdjointEigenSolver >’ 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26: required from ‘class Eigen::SelfAdjointEigenSolver >’ 82 | Size = MatrixType::RowsAtCompileTime, | ^~~~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from ‘class Eigen::Tridiagonalization >’ 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:24: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, 2>’ 63 | template class Reverse | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:361: ../inst/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, 2>’: ../inst/include/nimble/EigenTypedefs.h:146:47: required from here 146 | Eig_eigVals = solver1.eigenvalues().reverse(); | ^ ../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, 1>’ 63 | template class Reverse | ^~~~~~~ ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, 1>’: ../inst/include/nimble/EigenTypedefs.h:149:59: required from here 149 | Eig_eigVecs = solver1.eigenvectors().rowwise().reverse(); | ^ ../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, 1> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from ‘class Eigen::HessenbergDecomposition >’ 277 | VectorType m_temp; | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ ../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:156:47: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:156:68: required from here 156 | sortIndices.push_back(make_pair(abs(solver2.eigenvalues().real()(i)),i)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:161:35: required from here 161 | if(solver2.eigenvalues().imag()(sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:173:58: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, Eigen::Matrix, -1, -1> >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, -1, -1> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, -1, -1> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, -1, -1> >, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/nimble/EigenTypedefs.h:173:84: required from here 173 | sorted_eigVecs.col(i) = solver2.eigenvectors().real().col(sortIndices[i].second); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ ../inst/include/nimble/EigenTypedefs.h:175:38: required from here 175 | if(solver2.eigenvectors().imag()(j, sortIndices[i].second) != 0){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -DR_NO_REMAP -I../inst/include -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c nimbleGraph.cpp -o nimbleGraph.o g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o nimble.so RcppUtils.o dists.o eigenUsingClasses.o nimble.o nimbleGraph.o -lflexiblas -lgfortran -lm -lquadmath -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library/00LOCK-nimble/00new/nimble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘nimble’ finding HTML links ... done ADNimbleList html ADbreak html ADproxyModelClass-class html BUGSdeclClass-class html CAR-Normal html CAR-Proper html CAR_calcNumIslands html Categorical html ChineseRestaurantProcess html CmodelBaseClass-class html CnimbleFunctionBase-class html Constraint html Dirichlet html Double-Exponential html Exponential html Interval html Inverse-Gamma html Inverse-Wishart html LKJ html MCMCconf-class html Multinomial html Multivariate-t html MultivariateNormal html Rmatrix2mvOneVar html RmodelBaseClass-class html StickBreakingFunction html Wishart html any_na html as.carAdjacency html as.carCM html asRow html autoBlock html buildAGHQGrid html buildAuxiliaryFilter html buildBootstrapFilter html buildEnsembleKF html buildIteratedFilter2 html buildLiuWestFilter html buildMCEM html buildMCMC html buildMacro html calculateWAIC html carBounds html carMaxBound html carMinBound html checkInterrupt html clearCompiled html codeBlockClass-class html compileNimble html configureMCMC html configureRJ html decide html decideAndJump html declare html deregisterDistributions html distributionInfo html eigenNimbleList html extractControlElement html flat html getBUGSexampleDir html getBound html getConditionallyIndependentSets html getDefinition html getMacroParameters html getNimbleOption html getParam html getSamplesDPmeasure html getsize html identityMatrix html initializeModel html is.nf html is.nl html laplace html makeBoundInfo html makeModelDerivsInfo html makeParamInfo html modelBaseClass-class html modelDefClass-class html modelInitialization html modelValues html modelValuesBaseClass-class html modelValuesConf html nfMethod html nfVar html nimCat html nimCopy html nimDerivs html nimDim html nimEigen html nimIntegrate html nimMatrix html nimNumeric html nimOptim html nimOptimDefaultControl html nimOptimMethod html nimPrint html nimStop html nimSvd html nimble-R-functions html nimble-internal html nimble-math html nimble-package html nimbleCode html nimbleExternalCall html nimbleFunction html nimbleFunctionBase-class html nimbleFunctionList-class html nimbleFunctionVirtual html nimbleList html nimbleMCMC html nimbleModel html nimbleOptions html nimbleRcall html nimbleType-class html nodeFunctions html optimControlNimbleList html optimDefaultControl html optimResultNimbleList html parameterTransform html pow_int html printErrors html rankSample html readBUGSmodel html registerDistributions html resize html run.time html runCrossValidate html runLaplace html runMCMC html samplers html setAndCalculate html setAndCalculateOne html setSize html setupMargNodes html setupOutputs html simNodes html simNodesMV html singleVarAccessClass-class html summaryLaplace html svdNimbleList html t html testBUGSmodel html valueInCompiledNimbleFunction html values html waic html waicDetailsNimbleList html waicNimbleList html withNimbleOptions html ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nimble) + test -d nimble/src + cd nimble/src + rm -f RcppUtils.o dists.o eigenUsingClasses.o nimble.o nimbleGraph.o nimble.so + rm -f /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.3.0-1.fc40.copr8405706 --unique-debug-suffix -1.3.0-1.fc40.copr8405706.x86_64 --unique-debug-src-base R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/nimble find-debuginfo: starting Extracting debug info from 2 files Error while writing index for `/builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library/nimble/CppCode/libnimble.so': No debugging symbols gdb-add-index: No index was created for /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/usr/local/lib/R/library/nimble/CppCode/libnimble.so gdb-add-index: [Was there no debuginfo? Was there already an index?] DWARF-compressing 2 files dwz: Too few files for multifile optimization sepdebugcrcfix: Updated 1 CRC32s, 1 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 5809 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/redhat/brp-mangle-shebangs *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/arch/AltiVec/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/arch/ZVector/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/util/DisableStupidWarnings.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/util/MKL_support.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/Core/Assign_MKL.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/local/lib/R/library/nimble/include/Eigen/src/misc/lapacke.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/nimble/inst/include/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/nimble/inst/include/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64/nimble/inst/include/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 Provides: R-CRAN-nimble = 1.3.0-1.fc40.copr8405706 R-CRAN-nimble(x86-64) = 1.3.0-1.fc40.copr8405706 libnimble.so()(64bit) Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libflexiblas.so.3()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgcc_s.so.1(GCC_4.0.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(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_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(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: R-CRAN-nimble-debugsource-1.3.0-1.fc40.copr8405706.x86_64 Provides: R-CRAN-nimble-debugsource = 1.3.0-1.fc40.copr8405706 R-CRAN-nimble-debugsource(x86-64) = 1.3.0-1.fc40.copr8405706 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-nimble-debuginfo-1.3.0-1.fc40.copr8405706.x86_64 Provides: R-CRAN-nimble-debuginfo = 1.3.0-1.fc40.copr8405706 R-CRAN-nimble-debuginfo(x86-64) = 1.3.0-1.fc40.copr8405706 debuginfo(build-id) = 1b3075d8229bc344ec48c33142d8fbc41b6bf2c4 debuginfo(build-id) = d57e6b7edcb2b981c61b99e5caea4cce8b9e0236 libnimble.so-1.3.0-1.fc40.copr8405706.x86_64.debug()(64bit) Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-nimble-debugsource(x86-64) = 1.3.0-1.fc40.copr8405706 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-nimble-debugsource-1.3.0-1.fc40.copr8405706.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-nimble-debuginfo-1.3.0-1.fc40.copr8405706.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.mTjO4S + umask 022 + cd /builddir/build/BUILD + cd nimble + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.tmaLhw + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/nimble-SPECPARTS + rm -rf nimble nimble.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm Finish: build phase for R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1734486719.896055/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-nimble-1.3.0-1.fc40.copr8405706.src.rpm) Config(child) 5 minutes 47 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-nimble", "epoch": null, "version": "1.3.0", "release": "1.fc40.copr8405706", "arch": "x86_64" }, { "name": "R-CRAN-nimble", "epoch": null, "version": "1.3.0", "release": "1.fc40.copr8405706", "arch": "src" }, { "name": "R-CRAN-nimble-debugsource", "epoch": null, "version": "1.3.0", "release": "1.fc40.copr8405706", "arch": "x86_64" }, { "name": "R-CRAN-nimble-debuginfo", "epoch": null, "version": "1.3.0", "release": "1.fc40.copr8405706", "arch": "x86_64" } ] } RPMResults finished